Top AI & Machine Learning Jobs

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

Oversee AI enablement efforts, lead teams to deliver enterprise AI solutions, integrate security, and translate business needs into technical strategies.

Build, deploy, and operate production-ready full-stack AI applications and agent-based solutions for semiconductor manufacturing and MES ecosystems. Develop backend services, APIs, user experiences, databases, integrations, and cloud-native components. Evaluate AI quality, safety, governance, reliability, and performance; troubleshoot production incidents; and promote architecture, testing, CI/CD, and DevOps excellence. Provide Level 3 support through a 24/7 on-call rotation while collaborating with manufacturing, engineering, data, and business teams.

Lead global analytics and data science teams supporting semiconductor manufacturing. Drive yield and process optimization through SQL, sensor, and fabrication-tool data; apply statistical modeling and machine learning to reduce defects; support DOE experiments; build automated dashboards; and manage cross-functional delivery portfolios. Mentor technical talent, improve data quality and platform performance, standardize modern data stacks, and partner with engineering and business leaders on prioritization, risks, and dependencies.

Develop machine learning and statistical models for highly automated semiconductor manufacturing using large, diverse datasets. Extract and clean data from databases, identify outliers and missing values, build analytical pipelines, and apply advanced methods to time-series, image, and shifting-distribution data. The role also involves software development, communication, and potential work with Vertex AI, LLM applications, AI agents, and Manufacturing Execution Systems.

Design and implement advanced smart manufacturing solutions in scheduling, mathematical optimization, and discrete event simulation. Build data analytics and applications to provide actionable insights, collaborate globally to deploy solutions across manufacturing sites, and integrate AI/OR hybrid methods to improve production performance and benchmarking.

Develop systems software, profiling tools, benchmarks, and experimentation frameworks for LLM training, inference, and agentic AI workloads. Optimize performance across GPUs, CPUs, memory, storage, and distributed systems, including caching, scheduling, data placement, and state management. Analyze experimental results and collaborate with research and engineering teams on AI infrastructure innovations, technical publications, intellectual property, and future platform designs.

Develop, test, debug, document, and deploy applications for smart manufacturing solutions. Gather customer requirements, collaborate with business, product, and application development teams, train users, implement third-party solutions, and coordinate with IT procurement on contracts and support. Apply AI-enabled methods to improve application development processes while promoting Micron’s values and inclusive teamwork.

Develops and deploys AI and machine learning models for design validation, process optimization, simulation acceleration, yield improvement, and quality enhancement. Builds engineering design assistants, copilot systems, data pipelines, dashboards, and predictive models. Automates design, routing, simulation, and validation workflows while collaborating with design, simulation, and manufacturing teams to translate engineering challenges into scalable AI solutions.

Analyze semiconductor manufacturing data to identify anomalies and improve yield; develop computer vision solutions for inspection and defect detection; build and productionize predictive models and analytical pipelines; apply generative AI, LLMs, and agentic AI to automate engineering tasks; collaborate cross-functionally, communicate insights, and mentor junior data scientists.